Human and Machine Perception:
Emergence, Attention and Creativity

Pavia, September 14 - 17, 1998
HMP98 Home Page

PLANNING AND PROBLEM SOLVING

Maurizio Cardaci
Dip. di Psicologia, Università di Palermo
Viale delle Scienze, I-90100 Palermo, Italy
phone: +39 91 485738
fax: +39 91 6521010
e-mail: cardaci@biblio.unipa.it

Salvatore Gaglio, panel co-ordinator
Centro Studi sulle Reti di Elaboratori - CNR
Dipartimento di Ingegneria Elettrica, Università di Palermo
Viale delle Scienze, I-90100 Palermo, Italy
phone: +39-91-6566111/238111
fax: +39-91-488452
e-mail: gaglio@diepa.unipa.it

Ingrid Isenhardt
Department of Informatics in Mechanical Engineering (IMA/HDZ)
University of Technology (RWTH)
Dennewartstr, 27 - D-52068 Aachen, Germany
e-mail: Isenhardt@hdz-ima.rwth-aachen.de

Massimo Savini
DIS, Università di Pavia
Via Ferrata 1, I-27100 Pavia - Italy
phone: +39 382 505353
fax: +39 382 505373
e-mail: savio@ipvvis.unipv.it

HOT POINTS
  • Reactive Planning or Classical Planning?
  • The role and the level of representations;
  • Symbolic or subsymbolic processing? What about hybrid processing?
  • Very limited results are reported in applications to autonomous systems;
  • The functionality of an agent could be seen as an "emergent property" of the interaction with a dynamic environment (P. Maes);
  • Is the distributed approach a key factor?
  • What could we learn from animal behavior? Could we able to implement artificial agents having the same dexterity?
  • What is instinct? It also involves complex plans;
  • How an agent learns to solve problems?
  • What about real time performance?
  • Some functionalists stress that problem solving starts only when the organism is capable to perceive that there is a disequilibrium or a perturbation in its envinronment. If the organism doesn't recognize the perturbation, it risks to be overcome. How can organisms detect perturbations by means of their environmental representations?
  • Is problem solving a bottom-up or a top-down process?
  • Which is the role of analogical mapping?
  • How could an internal, motivational state of the organism affect the search of the solution?
  • Is problem solving essentially based on parallel information (Gestalt restructuring) or does it consist in a sequential planning in the search for a solution path?
  • What have to do planning and problem solving with perception?
  • What has to do perception with planning and problem solving?
  • Where should bottom-up (data driven) and top-down (goal/task driven) processes meet?
  • Which connection exists between computer vision systems and decision theoretic tecniques?

URL: http://vision.unipv.it/hmp98
e-mail: hmp@ipvvis.unipv.it